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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Algorithm for human vital sign detection based on energy focusing and improved variational mode decomposition

Sun Xujie1,2
Huang Xiaohong1,2
Deng Zhenmiao3
1. College of Artificial Intelligence, North China University of Science & Technology, Hebei Tangshan 063210, China
2. Hebei Provincial Key Laboratory of Industrial Intelligent Perception, Hebei Tangshan 063026, China
3. Sun Yat-sen University, Guangzhou 510275, China
DOI: 10.19734/j.issn.1001-3695.2024.08.0315

Abstract

This paper proposes a high-precision algorithm to improve detection accuracy for human vital sign monitoring using Frequency Modulated Continuous Wave (FMCW) radar in environments with extensive random body movement. The algorithm initially selects the optimal chest distance window by focusing energy, effectively eliminating motion artifacts. It then applies polynomial fitting to the distance window sequence, reducing abrupt transitions and accurately extracting the phase signal. Finally, the improved Variational Mode Decomposition (VMD) algorithm, which uses autocorrelation power spectral density and weighted permutation entropy, removes large-scale random body motion components from the phase signal. This approach accurately estimates vital signs such as respiratory rate (RR) and heart rate (HR) . Experiments using a 77GHz radar in scenarios simulating significant random body movements demonstrate that, even with a displacement amplitude of up to 20 cm, the method achieves RR and HR estimation accuracies of 97.7% and 96.9%, respectively. The accuracy improves by 5.2% and 2.7% over the RETF-TVF-EMD algorithm, and by 14.3% and 7.9% over the IAP-VMD algorithm. The experimental results demonstrate that the algorithm in this paper can accurately estimate vital sign parameters in scenarios involving large-scale random human body movements.

Foundation Support

华北理工大学基金资助项目
基于毫米波雷达的生命体征检测关键技术研究(ZD-YG-202317-23)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.08.0315
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-16] Accepted Paper

Cite This Article

孙绪杰, 黄晓红, 邓振淼. 基于能量聚焦和改进变分模态分解的人体生命体征检测算法 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0315. (Sun Xujie, Huang Xiaohong, Deng Zhenmiao. Algorithm for human vital sign detection based on energy focusing and improved variational mode decomposition [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.08.0315. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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